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The pace of growth for artificial intelligence (AI) within the consumer, enterprise, government, and defense sectors continues unabated as use cases start to solidify and companies move from talking about AI to deploying and building solutions. The conversation has moved away from “How does one define AI?” to “What are the main challenges to deploying and scaling AI?” Tractica believes the global AI market is entering a new phase in 2019 where the narrative is shifting from hype to reality. While the market is still a few years away from an inflection point for real growth, it is critical for both end users and solutions providers to identify the technologies and use cases where they want to invest in AI.

Tractica has built a taxonomy of more than 300 AI use cases across 30 industry sectors that captures the business-to-business (B2B) software opportunity related to AI. The use cases cov er three major meta-categories: vision, language, and analytics. Analytics is a major driver for AI and is a continuation of business analytics and classical machine learning (ML) techniques that have been traditionally applied to extract meaning from raw data. However, according to Tractica’s analysis, deep learning (DL)-based human perception based on vision and language is a bigger driver for AI in the long run. Annual global AI software revenue is forecast to grow from $9.5 billion in 2018 to $118.6 billion by 2025.

This Tractica report provides a quantitative assessment of the market opportunity for AI across the consumer, enterprise, government, and defense sectors. The study includes market sizing, segmentation, and forecasts for 315 AI use cases distributed across 30 industries. Since the last iteration of this report, Tractica has added 21 new use cases spread across multiple industries, including energy, manufacturing, retail, consumer, transportation, public sector, media and entertainment, telecommunications, and insurance. Global market forecasts, segmented by hardware, software, services, technology, geography, revenue type, and meta-category, extend through 2025.

Key Questions Addressed:

What are the key use cases for AI and which industry sectors will experience the most revenue growth between 2018 and 2025?

What will be the key drivers of AI adoption in each industry and technology category?

Which key AI technologies and combinations of technologies will gain the most market traction?

How does the growth of AI vary among vision-, language-, and analytics-based use cases?

What is the split between software, hardware, and services in the global AI market?

How does global AI software revenue break down between indirect and direct revenue?

How will AI software deployments drive sales of hardware and professional services?

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